AI to predict and improve peritoneal dialysis
Research type
Research Study
Full title
Use of Behavioural Artificial Intelligence to predict barriers and enablers to peritoneal dialysis
IRAS ID
344467
Contact name
Stuart Flint
Contact email
Duration of Study in the UK
0 years, 11 months, 26 days
Research summary
This research aims to find out if 1) an artificial intelligence solution that identifies personality characteristics can be used to predict a persons choice of kidney disease treatment (i.e. peritoneal or haemodialysis), and 2) whether messages designed for people who choose haemodialysis can be used to increase the likelihood that they would chose peritoneal dialysis instead.
This study has two phases. In both phases, patients with kidney disease attending University Hospitals Birmingham NHS Foundation Trust will be invited to take part in the study.
In phase 1, people who agree to take part, will be asked to identify the choice of dialysis treatment that they already have or would choose for kidney disease. They will also respond to open ended questions about treatment for kidney disease and lifestyle behaviour change that can help to manage kidney disease. Scaled Insights Behavioural Artificial Intelligence solution will be used to identify personality characteristics from the way people construct their sentences and these personality characteristics will be grouped and used to predict choice of dialysis.
In phase 2, people who choose haemodialysis will be exposed to messages designed to support them to chose peritoneal dialysis instead.
REC name
South West - Frenchay Research Ethics Committee
REC reference
26/SW/0030
Date of REC Opinion
19 Mar 2026
REC opinion
Unfavourable Opinion